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» Defining implicit objective functions for design problems
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AADA
2011
14 years 5 months ago
Sparse Template-Based variational Image Segmentation
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
Dirk Breitenreicher, Jan Lellmann, Christoph Schn&...
CSUR
2000
136views more  CSUR 2000»
15 years 4 months ago
Pattern density and role modeling of an object transport service
Many object-oriented frameworks exhibit a high density of design pattern applications. Usually, there are more instances in a framework than there are abstract classes. Yet, only ...
Dirk Riehle, Roger Brudermann, Thomas R. Gross, Ka...
CCCG
2009
15 years 6 months ago
Data Structures for Range Aggregation by Categories
We solve instances of a general class of problems defined as follows: Preprocess a set S of possibly weighted colored geometric objects (e.g. points/orthogonal segments/rectangles...
Saladi Rahul, Prosenjit Gupta, K. S. Rajan
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 5 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
147
Voted
ICIP
2010
IEEE
15 years 3 months ago
Distributed classification of multiple observations by consensus
We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...
Effrosini Kokiopoulou, Pascal Frossard